
FLUX-TENCENT
FLUX SRPO Image-to-Image transforms reference photos into refined, prompt-guided edits with sharp aesthetic quality and creative control on eachlabs.
Avg Run Time: 0.000s
Model Slug: tencent-flux-1-srpo-image-to-image
Playground
Input
Output
Example Result
Preview and download your result.

API & SDK
Create a Prediction
Send a POST request to create a new prediction. This will return a prediction ID that you'll use to check the result. The request should include your model inputs and API key.
Get Prediction Result
Poll the prediction endpoint with the prediction ID until the result is ready. The API uses long-polling, so you'll need to repeatedly check until you receive a success status.
Readme
Overview
Tencent | Flux 1 | Srpo | Image to Image Overview
Tencent | Flux 1 | Srpo | Image to Image is an advanced image transformation model that converts reference photos into refined, prompt-guided edits while maintaining sharp aesthetic quality and creative control. Built on Black Forest Labs' Flux architecture and optimized by Tencent, this model specializes in image-to-image workflows where users provide both a source image and detailed text prompts to guide the transformation. Unlike generic image editing tools, Tencent | Flux 1 | Srpo | Image to Image preserves the structural integrity of input images while applying sophisticated style transfers, compositional adjustments, and creative enhancements. This makes it ideal for creators who need precise control over how their reference images evolve, whether for design iteration, content creation, or artistic exploration. The model excels at understanding complex prompts and translating them into visually coherent outputs that respect both the original image's essence and the user's creative intent.
Technical Specifications
Technical Specifications
- Input formats: JPEG, PNG, WebP image files
- Output format: PNG with transparency support
- Supported resolutions: Up to 1024×1024 pixels for optimal quality
- Aspect ratio flexibility: Maintains input aspect ratio or supports common ratios (16:9, 4:3, 1:1, 9:16)
- Processing time: Typically 5-15 seconds per image depending on complexity
- Color depth: Full RGB support with 8-bit per channel
- Batch processing: Single image per request; sequential processing recommended for workflows
- API availability: RESTful API integration through each::labs platform
Key Considerations
Key Considerations
Before using Tencent | Flux 1 | Srpo | Image to Image, understand that this model performs best with clear, well-composed reference images and detailed, specific prompts. The quality of your output directly correlates with the clarity of your input image and the precision of your text instructions. This model is optimized for creative enhancement rather than dramatic structural changes—if you need to completely reimagine an image, text-to-image generation may be more suitable. Processing time scales with image complexity, so simpler edits typically complete faster. The model respects copyright and content policies, so ensure your source images and prompts comply with usage guidelines. For production workflows, batch processing multiple images sequentially is more reliable than attempting parallel requests.
Tips & Tricks
Tips and Tricks
To maximize results with Tencent | Flux 1 | Srpo | Image to Image, craft prompts that describe both the desired changes and the style you want to achieve. Be specific about lighting, mood, and artistic direction rather than vague about outcomes. Start with high-quality source images—sharp, well-lit originals produce sharper transformed outputs. Use descriptive adjectives that relate to visual qualities: "cinematic," "painterly," "high-contrast," or "soft-focus" guide the model effectively. Reference specific artistic movements or photography styles in your prompts for consistent aesthetic results. Test iteratively with slight prompt variations to find the exact tone you need. Example prompts that work well: "Transform this portrait into a Renaissance oil painting with warm golden lighting," "Convert to a moody film noir aesthetic with dramatic shadows," and "Apply a dreamy, soft-focus watercolor style while preserving facial features." Avoid contradictory instructions—the model performs best with coherent, unified creative direction.
Capabilities
Capabilities
- Style transfer: Apply artistic movements, photography styles, or visual aesthetics to reference images
- Lighting adjustment: Modify illumination, shadows, and highlights based on prompt descriptions
- Compositional refinement: Enhance framing and visual balance while respecting the original layout
- Color grading: Shift color palettes and tones to match specified moods or artistic directions
- Detail enhancement: Sharpen and refine image elements while maintaining natural appearance
- Prompt-guided transformation: Interpret complex text instructions to guide creative changes
- Aspect ratio preservation: Maintain or adjust image proportions without distortion
- Semantic understanding: Recognize objects and contexts within images to apply contextually appropriate edits
What Can I Use It For?
Use Cases for Tencent | Flux 1 | Srpo | Image to Image
Product Photography Enhancement: E-commerce creators use Tencent | Flux 1 | Srpo | Image to Image to transform product photos into lifestyle imagery. A furniture brand might upload a plain product shot with the prompt "Place this chair in a modern minimalist living room with natural sunlight streaming through large windows," creating compelling marketing visuals without reshoots.
Concept Art Development: Game and film designers iterate on visual concepts by uploading reference sketches and using prompts like "Transform this character sketch into a photorealistic cyberpunk warrior with neon accents and metallic armor," rapidly exploring design variations before committing to final artwork.
Social Media Content Creation: Content creators enhance personal photos with artistic flair using prompts such as "Convert this selfie to a vibrant pop art illustration with bold colors and comic book style," maintaining recognizable features while dramatically elevating visual appeal for engagement.
Architectural Visualization: Designers refine building photographs by applying prompts like "Render this building exterior in warm evening light with dramatic shadows and enhanced architectural details," helping clients visualize design modifications or lighting scenarios before construction.
Things to Be Aware Of
Things to Be Aware Of
Tencent | Flux 1 | Srpo | Image to Image works best with images that have clear subjects and good composition—cluttered or poorly lit source images may produce inconsistent results. The model interprets prompts literally, so vague instructions like "make it better" won't produce meaningful changes; specificity matters significantly. Very large source images may require downsampling to 1024×1024 for optimal processing. The model cannot add entirely new elements that don't exist in the source image—it transforms and enhances what's already present. Processing time increases with image complexity and prompt length, so extremely detailed prompts may take longer to process. Be aware that some artistic styles may conflict with photorealism requests, requiring you to choose a unified creative direction rather than mixing contradictory aesthetics.
Limitations
Limitations
Tencent | Flux 1 | Srpo | Image to Image cannot generate entirely new content from scratch—it requires a source image to work from. The model struggles with extreme structural changes, such as completely altering object positions or adding major new elements. Text within images may not be preserved or may be distorted during transformation. The model has difficulty with very small details or fine textures in source images, which may become blurred during processing. It cannot reliably handle images with multiple conflicting lighting conditions or extremely complex compositions. Output quality degrades when source images are low-resolution, heavily compressed, or poorly lit. The model respects content policies and will decline requests involving harmful, explicit, or copyrighted material.
Pricing
Pricing Detail
This model runs at a cost of $0.025 per execution.
The average execution time is 15 seconds, but this may vary depending on your input data and complexity.
The cost per run is $0.025
Pricing Type: Per Execution
Cost Per Execution means you pay a fixed amount for each API call or model run. This pricing model provides predictable costs regardless of the processing time or complexity of your request.
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